Production of low cost carbon-fiber through energy optimization of stabilization process

Golkarnarenji, Gelayol, Naebe, Minoo, Badii, Khashayar, Milani, Abbas S., Jazar, Reza N. and Khayyam, Hamid 2018, Production of low cost carbon-fiber through energy optimization of stabilization process, Materials, vol. 11, no. 3, doi: 10.3390/ma11030385.

Attached Files
Name Description MIMEType Size Downloads

Title Production of low cost carbon-fiber through energy optimization of stabilization process
Author(s) Golkarnarenji, Gelayol
Naebe, MinooORCID iD for Naebe, Minoo
Badii, Khashayar
Milani, Abbas S.
Jazar, Reza N.
Khayyam, Hamid
Journal name Materials
Volume number 11
Issue number 3
Total pages 13
Publisher M D P I
Place of publication Basel, Switzerland
Publication date 2018-03-05
ISSN 1996-1944
Keyword(s) limited data
complex manufacturing systems
support vector machines
Artificial Neural Network
intelligent optimization techniques
system identification
Science & Technology
Materials Science, Multidisciplinary
Materials Science
Summary To produce high quality and low cost carbon fiber-based composites, the optimization of the production process of carbon fiber and its properties is one of the main keys. The stabilization process is the most important step in carbon fiber production that consumes a large amount of energy and its optimization can reduce the cost to a large extent. In this study, two intelligent optimization techniques, namely Support Vector Regression (SVR) and Artificial Neural Network (ANN), were studied and compared, with a limited dataset obtained to predict physical property (density) of oxidative stabilized PAN fiber (OPF) in the second zone of a stabilization oven within a carbon fiber production line. The results were then used to optimize the energy consumption in the process. The case study can be beneficial to chemical industries involving carbon fiber manufacturing, for assessing and optimizing different stabilization process conditions at large.
Language eng
DOI 10.3390/ma11030385
Field of Research 03 Chemical Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, The Authors
Persistent URL

Document type: Journal Article
Collections: Institute for Frontier Materials
Open Access Checking
GTP Research
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 5 times in TR Web of Science
Scopus Citation Count Cited 6 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 81 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 12 Jul 2018, 16:08:40 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact